Scale Space and Variational Methods in Computer Vision (SSVM 2019)

Guest edited by Jan Lellmann, Jan Modersitzki

Journal

Journal of Mathematical Imaging and Vision

Current developments in new image processing hardware, the advent of multisensor data fusion, and rapid advances in vision research have led to an explosive growth in the...

Showing 1-10 of 10 articles

Guest Editorial: Scale Space and Variational Methods
Jan Lellmann
Jan Modersitzki
EditorialNotes Open access 29 January 2021 Pages: 131 - 132
Block-Based Refitting in \(\ell _{12}\) Sparse Regularization
Charles-Alban Deledalle
Nicolas Papadakis
Samuel Vaiter
OriginalPaper 17 October 2020 Pages: 216 - 236
Total Variation and Mean Curvature PDEs on the Homogeneous Space of Positions and Orientations
Bart M. N. Smets
Jim Portegies
Remco Duits
OriginalPaper Open access 18 September 2020 Pages: 237 - 262
PDE Evolutions for M-Smoothers in One, Two, and Three Dimensions
Martin Welk
Joachim Weickert
OriginalPaper 12 August 2020 Pages: 157 - 185
Learning Adaptive Regularization for Image Labeling Using Geometric Assignment
Ruben Hühnerbein
Fabrizio Savarino
Christoph Schnörr
OriginalPaper Open access 06 August 2020 Pages: 186 - 215
Image Morphing in Deep Feature Spaces: Theory and Applications
Alexander Effland
Erich Kobler
Martin Rumpf
OriginalPaper Open access 19 July 2020 Pages: 309 - 327
Towards PDE-Based Video Compression with Optimal Masks Prolongated by Optic Flow
Michael Breuß
Laurent Hoeltgen
Georg Radow
OriginalPaper Open access 13 July 2020 Pages: 144 - 156
Computed Tomography Reconstruction with Uncertain View Angles by Iteratively Updated Model Discrepancy
Nicolai André Brogaard Riis
Yiqiu Dong
Per Christian Hansen
OriginalPaper 04 July 2020 Pages: 133 - 143
A Stochastic Multi-layer Algorithm for Semi-discrete Optimal Transport with Applications to Texture Synthesis and Style Transfer
Arthur Leclaire
Julien Rabin
OriginalPaper 01 July 2020 Pages: 282 - 308
Cortical-Inspired Wilson–Cowan-Type Equations for Orientation-Dependent Contrast Perception Modelling
Marcelo Bertalmío
Luca Calatroni
Dario Prandi
OriginalPaper 11 June 2020 Pages: 263 - 281

Scale Space and Variational Methods in Computer Vision (SSVM 2019)

Participating journal

Journal of Mathematical Imaging and Vision

Articles

Guest Editorial: Scale Space and Variational Methods

Block-Based Refitting in \(\ell _{12}\) Sparse Regularization

Total Variation and Mean Curvature PDEs on the Homogeneous Space of Positions and Orientations

PDE Evolutions for M-Smoothers in One, Two, and Three Dimensions

Learning Adaptive Regularization for Image Labeling Using Geometric Assignment

Image Morphing in Deep Feature Spaces: Theory and Applications

Towards PDE-Based Video Compression with Optimal Masks Prolongated by Optic Flow

Computed Tomography Reconstruction with Uncertain View Angles by Iteratively Updated Model Discrepancy

A Stochastic Multi-layer Algorithm for Semi-discrete Optimal Transport with Applications to Texture Synthesis and Style Transfer

Cortical-Inspired Wilson–Cowan-Type Equations for Orientation-Dependent Contrast Perception Modelling

Scale Space and Variational Methods in Computer Vision (SSVM 2019)

Participating journal

Articles

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